Created a classification model to predict whether a used car bought at auction is good/bad buy using Ensemble methods, Random Forest, Logistic Regression and Boosting, to achieve 90.5% test accuracy.
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Machine Learning classification model to predict whether a used car bought at auction is good/bad using Ensemble methods, Random Forest, Logistic Regression and Boosting (XGBoost).
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